Multi-beam LiDAR-derived data analysis for optimal canopy 3D monitoring in super-intensive almond (Prunus dulcis) orchards

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Llorens Calveras, JordiLlorens Calveras, Jordi - ORCID ID
Alsina Tehàs, Albert
Arnó Satorra, JaumeArnó Satorra, Jaume - ORCID ID
Martínez Casasnovas, José AntonioMartínez Casasnovas, José Antonio - ORCID ID
Escolà i Agustí, AlexandreEscolà i Agustí, Alexandre - ORCID ID
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An analysis of data obtained by a LiDAR sensor was carried out. The sensor uses 16 laser beams and was moved along super-intensive almond orchard alleyways to obtain a 3D point cloud. Different beam combinations were used to obtain three geometrical crop parameters: canopy height, width and cross-sectional area. The parameters were computed using a single central beam, a combination of the two outer beams and all 16 beams. The results showed statistically significant differences in width and cross-sectional area when using one, two or sixteen beams. The more the laser beams considered, the larger the canopy width and cross-sectional area. 28-33% larger width was obtained in comparison to the central beam whereas the cross-sectional area was doubled when all beams were considered.
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Stafford, J.V. (ed.), Precision Agriculture’21. Wageningen Academic Publishers, Amsterdam (The Netherlands), pp 395-401.